Christoph Stefan Aigner

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RF pulse design via optimal control is typically based on gradient and quasi-Newton approaches and therefore suffers from slow convergence. We present a flexible and highly efficient method that uses exact second-order information within a globally convergent trust-region CG-Newton method to yield an improved convergence rate. The approach is applied to the(More)
 Radio frequency (RF) pulses are essential in MRI to excite and alter magnetization. We present and validate a flexible approach based on optimal control of the full time-dependent Bloch equation, including relaxation effects. A globally convergent trust-region Newton method with exact derivatives via adjoint calculus allows the efficient computation of(More)
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